One assistant vs. a platform: choose by shape, not features
Where your visual work stops being scattered and starts being an asset.
Creative work used to mean jumping between tools — draft here, generate the image there, download, re-upload, lose the final version, start over next time. The Media Library ends that. It is the single home for every image your team works with — uploaded and AI-created — all living together, organized, and ready whenever you need them.
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Create where you write no tab-hopping Describe what you need; the image appears in seconds, ready to use or refine.
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Every asset carries its story Provider, model, prompt, dimensions, date, and which documents use it.
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Reuse, not re-create one image, a dozen drafts Consistent brand, lower generation cost, nothing remade from scratch.
Media Library
Reuse replaces re-creation: a strong visual made once can serve a dozen drafts. That keeps your brand consistent and your generation costs down — instead of paying to remake the same image because nobody could find the first one.
Generate visuals inline or upload your own, then find, reuse, and track them across clients and chatbots — each one tagged with where it was generated and where it is used.
What does the Media Library do that a shared folder cannot?
It makes images, keeps their story, and feeds them straight into your work. Generate an image right where you write — through the providers you trust, on your own keys. Every asset remembers the provider, the model, the prompt, and which documents use it. Find anything by how it was made or who made it. And reuse a strong visual a dozen times instead of remaking it.
Generate inline through OpenAI, Gemini, Replicate, or Stability — your keys, your budget.
Provenance on every asset: provider, model, prompt, dimensions, date, usage.
Images flow into Content Studio, attach to documents, and ride along in your published payloads.
What gets harder without it
Creative work means jumping between tools
Draft in one place, generate an image in another, download it, upload it back, lose track of which version was final — and run the whole dance again next time you need something similar.
A folder of files has no memory
Six months later, which provider made this? What prompt? Is it still on brand? Without the story behind an asset, every reuse is a guess.
Experiments pile up and the good work gets buried
You generate ten options to find the one. Without cleanup, the other nine clutter the library forever and the keeper gets lost in them.
Generate right where you work
Describe what you need and the AI produces it on the spot — through OpenAI, Gemini, Replicate, or Stability, on your own keys, so you pay your provider directly and stay in control of cost. The result appears in seconds, ready to use or refine.
- No leaving the platform to generate, then coming back to upload.
- Your providers, your keys, your budget — direct billing.
- Generated images are ready to use or refine the moment they appear.
Guided generation when the prompt is hard
When you would rather not wrestle with the perfect wording, pick what you are actually trying to make — a section illustration, an infographic, a comparison visual, a process diagram — and the platform shapes the request for you.
- Choose the kind of image, not the perfect sentence.
- The platform builds the prompt around what you picked.
- Refine from there instead of starting from a blank box.
Nothing gets lost, nothing piles up
Freshly generated images start out temporary, so experiments clean themselves up. The instant an image earns its keep — you attach it to a draft or save it — it becomes permanent and reusable. Uploaded images stay until you decide otherwise. Every asset carries its provenance.
- Temporary by default; permanent the moment it earns its place.
- Provider, model, prompt, dimensions, creation date, and document usage on every asset.
- A folder of files becomes a real, accountable archive.
Find it, share it, send it onward
The library is searchable and filterable — by uploaded versus generated, by your work versus a teammate's, by date, by the chatbot or document it belongs to. Share an asset with view, download, or use rights and an optional expiry. And images flow onward: into the Content Studio editor, onto your documents, and into the webhook payloads you send downstream.
- Filter by source, owner, date, chatbot, or document.
- Share with view / download / use rights and an optional expiry.
- Asset URLs can travel in the webhooks you send to Make, n8n, or Zapier.
How your team uses it
Describe the image, or pick the type and let the platform shape the prompt.
Refine until it is right; the keeper becomes permanent the moment you save or attach it.
Reuse it across drafts instead of regenerating — brand stays consistent, cost stays down.
Share it with the right teammates, or let its URL ride along in a published payload.
What shows up on your dashboard
Provider, model, prompt, dimensions, creation date, and which documents use it.
Experiments clean themselves up; the keepers stay the moment they earn their place.
Share rights — view, download, use — with an optional expiry, so the team draws from one well.
Best-fit use cases
A marketing team illustrating an article inline, then reusing the same visuals across the campaign.
A creative team generating infographics and diagrams through guided generation instead of perfect prompts.
A content team carrying approved images from the library into published work through their own automation.
How access works
Generation runs on your own provider keys, so cost stays in your control.
Sharing is scoped to view, download, or use — with an optional expiry.
Every asset keeps its provenance, so reuse is accountable, not a guess.
Questions teams ask before signing
Does the Media Library handle video or audio?
Images only today — uploaded and AI-generated. The focus is on making, organizing, and reusing visual work, not on media of every kind.
What is guided generation?
When you do not want to craft the perfect prompt, you pick what you are making — a section illustration, an infographic, a comparison visual, a process diagram — and the platform shapes the request for you.
What happens to images I generate but do not use?
They start temporary and clean themselves up, so experiments never clutter the library. The moment you attach or save one, it becomes permanent and reusable.
Related parts of the platform
Deploy AI assistants your clients, teams, and departments can actually use.
Tell us what you are trying to ship, and we will show you the pieces of the platform that get you there.